Big shout out to @JacobFValdez for adding two of the most requested output parsers: Enum
DateTime Enum Output Parser: https://
python.langchain.com/en/latest/modu
les/prompts/output_parsers/examples/enum.html
… DateTime Output Parser: https://
python.langchain.com/en/latest/modu
les/prompts/output_parsers/examples/datetime.html
…
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LangChain Adds Enum and DateTime Output Parsers
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AI Tools Still Require Real Coding Skills Learn
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you can do cool stuff like ask it to use tailwindcss (and link it to tailwind). But it will require work on top to customize 🙂 This is what I keep saying: you still need to learn to code to use tools like this.
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AutoCodePro Quick Tutorial Guide
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quick tutorial on how to use autocodepro: pic.twitter.com/pP7bxsoqlw
— Varun Mayya (@waitin4agi_) 29 mai 2023quick tutorial on how to use autocodepro:
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Fixing OpenAI rate limit issue in tool generation
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we're having this issue of the tool generating nothing if we break the OpenAI ratelimit. Solving this.
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Debugging Errors Reveals Interesting Hidden Data Insights
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Looking at people re-run the debugger on errors tells me what we might be sitting on some interesting data 😉
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Chrome Extension AI Tool With Advanced Debugger Capabilities
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Compared to smol, we're much more tailored toward chrome extensions atm (on a side note, smol is a great repo, defo do check it out. Showed us what's possible!). We also have a much better debugger in action.
There is still a 20-30% failure rate/generation which will get better! -
Autocode: AI-Powered Code Generation with Self-Healing Capabilities
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https://
autocodepro.com The core engine behind Autocode works very similarly to smol, plus some. We found a high rate of variable name inconsistency across generated code with smol, + wanted Autocode to work well with whatever CI/CD pipeline you use. It's got self-healing too. -
GPT-powered tool generates Chrome extensions and web applications
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You can use your own GPT API key or use ours. We're starting with a simple problem set: chrome extensions, but the tool can already be used to generate whole web apps. We'll make one click deployment possible later too, but the error rate with web apps is a bit higher.
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AutocodePro: AI-Powered App Building for Non-Engineers
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Announcing our third experiment: AutocodePro, a new AI based way to build apps (for non-engineers) and a convenient way to scaffold code for engineers.
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Shiny: Building AI Chat Applications with Python Framework
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Shiny – AI chat apps with Shiny for Python https://
bit.ly/3MG18HK #AI #MachineLearning #DeepLearning #LLMs #DataScience